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Accumulated Decoupled Learning: Mitigating Gradient Staleness in
  Inter-Layer Model Parallelization

Accumulated Decoupled Learning: Mitigating Gradient Staleness in Inter-Layer Model Parallelization

3 December 2020
Huiping Zhuang
Zhiping Lin
Kar-Ann Toh
ArXivPDFHTML

Papers citing "Accumulated Decoupled Learning: Mitigating Gradient Staleness in Inter-Layer Model Parallelization"

3 / 3 papers shown
Title
PETRA: Parallel End-to-end Training with Reversible Architectures
PETRA: Parallel End-to-end Training with Reversible Architectures
Stéphane Rivaud
Louis Fournier
Thomas Pumir
Eugene Belilovsky
Michael Eickenberg
Edouard Oyallon
25
0
0
04 Jun 2024
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
300
10,233
0
16 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
308
2,892
0
15 Sep 2016
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